Skip to main content

A moment-free estimator of the Sharpe (signal-to-noise) ratio.

Project description



This package implements a moment-free estimator of the Sharpe
(signal-to-noise) ratio. The algorithm does not require the computation
of any moments by estimating the Sharpe ratio based on the cumulative
sum of (i.i.d.) increments or returns. This algorithm is much more
precise (efficient) when increments are heavy-tailed.

The estimator computes the difference between the drawdown and drawup
durations. First, the cumulative sum of x (e.g. prices) is computed,
then the total drawdown and drawup durations are computed. Precision is
improved by averaging the estimator on several random permutations of x.


The data used to fit the spline is saved as spline_data.csv in the data folder.


pip install --no-cache-dir pysharperratio

Author: Amir Sani
Maintainers: Amir Sani & Damien Challet


Challet, Damien, `"Sharper asset ranking from total drawdown durations." arXiv preprint, arXiv:1505.01333 (2015).

Preprint available at


@article{challet2015sharper, title={Sharper asset ranking from total
drawdown durations}, author={Challet, Damien}, journal={arXiv preprint
arXiv:1505.01333}, year={2015} }

Copyright (c) 2017, Amir Sani


.. |DOI| image::

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pysharperratio-0.1.11.tar.gz (3.0 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page